While every IoT system is different, the foundation for each Internet of Things architecture as well as its general data process flow is roughly the same.
First, it consists of the Things, which are objects connected to the Internet which by means of their embedded sensors and actuators can sense the environment around them and gather information that is then passed on to IoT gateways.
The next stage consists of IoT data acquisition systems and gateways that collect the great mass of unprocessed data, convert it into digital streams, filter and pre-process it so that it is ready for analysis.
The third layer is represented by edge devices responsible for further processing and enhanced analysis of data.
This layer is also where visualization and machine learning technologies may step in.
After that, the data is transferred to data centers which can be either cloud-based or installed locally.
This is where the data is stored, managed and analyzed in depth for actionable insights.
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